FreeLLMAPI vs Lenz: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of FreeLLMAPI and Lenz — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

FreeLLMAPI

Tashfeen Ahmed

Freemium

Self-hostable router that aggregates free tiers from 34 LLM providers and 635 free model endpoints behind one OpenAI-compatible /v1 API.

Unified OpenAI-Compatible Endpoint: Exposes 635 free model endpoints from 34 providers behind a single /v1 API that existing OpenAI clients can use unchanged.
Smart Model Router: Selects the best available model per request and automatically falls over to another provider when one returns a rate limit.
Per-Key Quota Tracking: Monitors usage against each provider's free tier cap so requests are spread out and no individual key is exhausted.
Encrypted Key Storage: Provider API keys are stored encrypted rather than in plaintext configuration files.
Custom Endpoint Support: Any additional OpenAI-compatible chat, embedding, image or audio endpoint can be registered alongside the built-in providers.
Self-Hosting via Docker: Ships as a container image on GHCR with a Docker Compose setup, so the gateway runs entirely on your own infrastructure.
Desktop and Mobile Apps: Native builds for macOS and Windows plus an Android app on Google Play for running the router outside a server.
Signed Live Catalog: The model catalog updates itself from a signed feed, so new free models and quota changes arrive without pulling new code.

Zero-Cost Prototyping: Build and test an LLM application against free provider tiers before committing to a paid API contract.
Rate Limit Resilience: Keep a coding agent or chatbot running through provider rate limits by automatically failing over to another free endpoint.
Coding Agent Backend: Point Cursor, Claude Code or any OpenAI-compatible CLI at a single local endpoint instead of juggling provider keys per tool.
Model Comparison: Evaluate responses across hundreds of models from different labs through one consistent API surface.
Private Gateway Deployment: Self-host the router inside a network so provider keys and prompts never pass through a third-party proxy.
Multi-Provider Key Management: Consolidate scattered free-tier accounts into one encrypted store with visibility into remaining quota.

Lenz IO

Freemium

Audit-grade fact-checking API that runs claims through an eight-model, five-stage adversarial pipeline and returns a cited verdict.

Five-Stage Adversarial Pipeline: Eight models across five stages gather evidence, argue the opposing side, and pass through three independent reviewers before a verdict is issued.
Multi-Vendor Independence: Verdicts come from LLMs across several vendors rather than one provider, so a single model's blind spot cannot decide the outcome.
Full Citation Trail: Every verdict ships with the real sources it rests on and the reasoning shown, so a human can audit why the answer came out the way it did.
Depth Ladder of Primitives: /extract, /assess, /verify and /ask let you trade latency against rigor — a fast multi-model check for live UX, the full pipeline for anything that will be published.
Claim Extraction from Free Text: /extract pulls the individually verifiable claims out of any document or model output so each can be checked separately.
Grounded Follow-Up Q&A: /ask answers questions about a completed verification using only that verification's evidence, keeping the conversation anchored to sources.
Drop-In Integrations: OpenAPI 3.1 with Python and TypeScript SDKs plus a CLI, and ready-made hooks for Claude, Cursor, n8n and Zapier.
Public Workbench and Bookmarklet: Paste a statement, link or question and get a sourced verdict without writing code, including a bookmarklet for checking claims while browsing.

Runtime Output Verification: Check what your LLM feature just produced against real sources before it reaches a user, asynchronously or inline.
Pre-Release CI Gates: Run generated content, docs or marketing copy through /verify in CI so unsupported claims fail the build.
Incident Triage: Verify claims circulating during a live incident and get a verdict with sources instead of a confident guess.
Editorial and Newsroom Checking: Extract the checkable claims from a draft and get each one scored with citations before publication.
Compliance and Risk Review: Produce an auditable trail showing what was verified, against which sources, for regulated or high-liability content.
Agent Tool Use: Give a Claude, Cursor or n8n agent a verification tool so it can confirm facts mid-workflow rather than asserting them.